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What Is a statistic that measures the strength of the relationship between two variables?

correlation


What are the strengths and weaknesses of correlation analysis?

Strengths:WeaknessesCalculating the strength of a relationship between variables.Cannot assume cause and effect, strong correlation between variables may be misleading.Useful as a pointer for further, more detailedresearch.Lack of correlation may not mean there is no relationship, it could be non-linear.


What does correlation tell us?

Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.


What is a correlation coefficient?

A correlation coefficient is a statistic that measures the strength and direction of a relationship between two variables. It ranges from -1 to 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship between the variables.


What is a measure of strength and direction of the relationship between two variable or data sets?

Correlation


Does The strength of the correlation between two variables A regression equation is a mathematical equation that defines the relationship between two variables?

Yes, the strength of the correlation between two variables indicates how closely they are related, typically measured by the correlation coefficient. A regression equation mathematically describes this relationship, allowing for predictions about one variable based on the other. While correlation assesses the strength and direction of the relationship, regression quantifies it and expresses it in a functional form. Thus, both concepts are interconnected in analyzing relationships between variables.


What is correlation between strength of mortar to strength of concrete?

mortar are mixing by sand & cement and concrete is mixing by cement, sand & stone


What are the two things A correlation coefficient represents?

The strength and the direction of a relationship.


Define correlation coefficients?

Correlation coefficients measure the strength and direction of a relationship between two variables. They range from -1 to 1: a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. They are commonly used in statistics to quantify the relationship between variables.


What is the difference between correlation and regression?

correlation we can do to find the strength of the variables. but regression helps to fit the best line


What is correlation coefficient of correlation?

correlation measure the strength of association between to variables.but some times both variables are not in same units.so we cannot measure it with the help of correlation. in this case we use its coefficent which mean unit free. that,s why we use it.


What is the purpose of using correlation analysis How might correlation analysis be used in business decisions or in strategy formulation and implementation?

The correlation analysis is use in research to measure and interpret the strength of a logistic relationship between variables.